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Titles Dates
1 # 961
Agricultural engineering and transformation of Polish agriculture to the requirements of European Union
1 # 978
Pneumatic separation as a possibility of improving quality of artificially dried, chopped clover
103 # 2181
Changes in technical equipment in selected farms after Poland accession to the European Union
103 # 2198
The impact of magnetically treated water on seeds sowing value and growth of selected plant species
103 # 2173
Using the EU aid resources for farm modernisation
104 # 2249
Neural analysis of the ultrasonographic images in the intramuscular fat level content identification process – preliminary research
104 # 2248
The impact of the number of variables on the operation quality of neuron model for identifying mechanical damage of corn seeds
105 # 2258
Assessment of the selection of neural network used to show the occurrence and to determine quasiplateau range in volt-ampere-metric soil oxygenation measurements
105 # 2264
Using artificial neural networks to assess apples ripeness degree
105 # 2290
Using genetic and ant algorithms to solve transport problems
105 # 2273
Using neural networks (fbm) for modelling of the process involving mixing of two-component granular systems
107 # 2308
Mechanical properties of miscanthus giganteus stalk
108 # 2364
Measures for evaluation of economic and technical determinants in farms
109 # 2396
Implementation of diagnostic concluding for field spraying machine atomiser in real time
109 # 2393
Neural model of changes in water content in willow chips during convection drying
109 # 2394
Neural model of temperature changes during convection drying of energy willow chips
109 # 2402
Selection of heat pumps supported by artificial neural networks for single-family houses for complete and incomplete data sets
109 # 2379
Using neural networks to count insecticidal nematoda
110 # 2435
Land and labour productivity in selected European Union countries
113 # 2373
Innovative method for identifying selected qualitative characteristics of seeds using image analysis and artificial neural networks (ANN)
114 # 2497
Analysis of compliance with the EU directives concerning requirements set for dairy farms
115 # 2543
Mechanical model of Miscanthus giganteus grass blades
115 # 2539
Results of the research on efficiency of mixture separation in a circulating trieur with conical working surface. Stage I. Separator with working surface rotating about its own axis
115 # 2534
The impact of selected factors on friction coefficient values for shredded miscanthus giganteus sprouts
115 # 2531
The Method used to predict time series using artificial neural networks
117 # 2598
Neural analysis of acoustic signal spectrum during determination of seed physical properties
117 # 2574
Neural classification of images showing dried vegetables
118 # 2610
An Artificial Neural Networks-based method for assessing technical and constructional modernity of farm tractors. Part I: Method guidelines
118 # 2632
Conversion of digital images into the form of teaching sets for the purposes of neural modelling
118 # 2611
Employing an author’s method for determining values of parameters for modern technical systems in ploughs and field spraying machines
120 # 2715
Acquisition of agricultural information and the amount of European Union funds used by farms for technical investments
120 # 2695
Using artificial neural networks to describe flour permittivity
121 # 2748
Colour compression impact on operation of a neural identification model
121 # 2731
Method allowing to assess technical and constructional modernity of farm tractors with the use of Artificial Neural Networks. Part II: Neural models for farm tractor modernity assessment
121 # 2732
Method allowing to assess technical and constructional modernity of farm tractors with the use of Artificial Neural Networks. Part III: Method application examples
121 # 2728
Noise level reduction in the process involving pneumatic transport of sugar using a truck-tractor compressor
121 # 2729
Noise propagation in the process involving pneumatic transport of sugar using a truck-tractor compressor
121 # 2747
Prediction of temperature changes for compost bed depending on aeration degree, carried out using artificial neural networks
122 # 2768
Effectiveness of separation of the model mixture in the circulating trieur
123 # 2809
Technical equipment of farms vs. Aid obtained from the European Union’s funds
125 # 2870
Modelling of food-processing with the use of artificial neural networks
125 # 2868
Replacement value of machinery vs. the amount of subsidy from the european union
126 # 2904
Research methodology and preparation of learning datasets for neural networks identifying compost quality
130 # 2984
A concept of a fruit picking vehicle with a pneumatic drive
130 # 2979
Attempt to separate pea seeds of low germination ability from the sowing material
131 # 3074
Centre in lublin and its originators in the opinion of the national environment of agricultural engineering
132 # 3113
Conditionings of organic agricultural production subsidizing during the accession period 2007-2013
132 # 3109
Sugar beets used for traditional purposes and for energy. An economic comparison
132 # 3097
Using neural networks in the process of mixing heterogeneous granular materials
136 # 3161
Influence of air pressure in a vibrator on selected technological parameters of a chute dispenser during supply of beetroot seeds
137 # 3207
Application of Kohonen map and a scatter diagram for identification of honey groups according to their electric features
137 # 3197
Hybrid drive for agricultural vehicles
139 # 3296
Efficiency of agricultural ecological production in relation to the production orientation of a farm
140 # 3315
Level of equipment with the machinery park and activities related to supporting ecological farms with the EU funds
146 # 3431
XX Years of the winter scientific school “Scientific, Technical and Organizational Progress in Agriculcture”
147 # 3484
Variability of the air flow velocity in the heat accumulator with a stone bed depending on the structure of the air distribution system
149 # 3546
Investigation of the impact of water content and activity on electric properties of honey with the use of neuron networks
152 # 3608
Results of operational and functional research of the slot dispensing assembly
154 # 3654
Purification and sorting of dry cornflower petals mixture in a horizontal air stream
155 # 3664
Computer image analysis and artificial neuron networks in the qualitative assessment of agricultural products
155 # 3670
Effect of the peppermint (Mentha piperita L.) compaction process on the content of essential oils
155 # 3665
The use of neural image analysis in the identification of information encoded in a graphical form
156 # 3689
Analysis of changes in the area and number of farms in Wielkopolskie and Malopolskie voivodeship
18 # 1537
Application of computer image analysis in measurements of agricultural wheels deformation parameters
18 # 1511
Strategies of development of Polish agriculture compared with world trends
19 # 996
Application of artificial neural networks to modelling of grain losses rising in a combine harvester
19 # 1003
Effect of potato tuber load in bulk on their mechanical resistance
19 # 995
Method of forecasting in agricultural engineering with the use of artificial neural networks
21 # 470
Application of neural networks in agriculture
21 # 498
Collective using of the technical means in agriculture of Poland and other European countries
21 # 500
Combine harvesters in Poland and the EU countries
31 # 1664
Learning effectiveness ofneuronal net onto needs of opinion of agricultural machine technical state
31 # 1677
Model of dry substance decreases in process of onion heat treatment
31 # 1662
Possibility of enlargement of technical prognoses exactitude obtained by use ofartificial neuronal net
31 # 1668
Problems of algorithms implementation of artificial intelligence in deck computers ofagricultural aggregates
31 # 1675
Use of artificial neuronal net to data interpolation in systems of spatial information
31 # 1670
Use of artificial neuronal net to prognosing freezing time of food products
31 # 1671
Utilization of artificial intelligence elements in agricultural practice
35 # 911
A comparison of the results of modeling the mixing process of homogenous granular components using a stochastic model and the back propagation method in neural networks
35 # 902
Modelling estimation of the fertilizer dose on example of winter wheat growing
35 # 881
Radial neural networks as a tool for estimation of heterogenity of the air flow through a stone store
41 # 568
Mining damages an arable lands – forecasting
45 Tom I # 1116
Attempt at an assessment of assistant policy for rural infrastructure development in the eve of integration with the European Union
45 Tom I # 1085
Organization and technical infrastructure of border points of veterinary control
45 Tom I # 1118
The ecological production in the agriculture in the Kieleccczyzna region
45 Tom II # 1138
Charges of chosen biogenic compounds carried in and carried out from the Dobczyce reservoir with the Raba river water in the years 1999-2002
52 # 802
Agricultural production extensification through agricultural environmental program (forecast for the south of Poland)
52 # 788
Possibilities of feeding diesel engines rape oil in the agricultural vehicles
61 # 1172
The HACCP system in dairy farms
61 # 1160
Using the neural network to estimate the air relative humidity on the basis of its temperature value
62 # 700
Analysis and classification of dried vegetables’ images with utilization of artificial neural networks
62 # 699
Assessment of effectiveness of the neural prediction based on selected methods exemplified by distribution of agricultural products
62 # 707
Genetic algorithms as a optimization tool applied in neural networks
62 # 696
Linear neural networks vs. regression analysis methods in the aspect of their applications in agricultural engineering
62 # 711
Neural networks in modeling agricultural engineering processes with limited date file
62 # 706
Optimization of decision processes using chosen methods of artificial intelligence
62 # 705
The analysis of assumptions for modeling sugar beet crop with utilization of artificial neural networks
66 # 1288
Applications of Virginia fanpetals (sida hermaphrodita) in power industry
66 # 1313
Mechanization cost in farms of various economic size
67 # 931
Algorithm for identification of biological materials images
67 # 958
An example of the use of a neural network to model a mixing process of granular systems
68 # 1371
Adequacy of the mathematical model and the models based on artificial neural networks to evaluating the kinetic strength of feed pellets
68 # 1367
An attempt to application of artificial neural network to evaluating technological advancement of agricultural machines
68 # 1366
Analysis of diagnostic parameter of the combine harvester gear assembly with the use of artificial neural network
68 # 1364
Analysis of front loader dynamics in phase of the bucket turn into granular medium heap
68 # 1377
Application of the neural networks to diagnostics of fuel injection system in diesel engines
68 # 1360
Comparison of algorithms to education of unidirectional neural network, with time-lag, used to predicting values of atmospherical air temperature
68 # 1361
Comparison of the GRNN models developed by using neural network moduli of the MATLAB and STATISTICA packets
68 # 1393
Interactive educational system introducing into issue of artificial neural networks
68 # 1405
Prediction of solar radiation sums for solar energy conversion systems
68 # 1392
Prediction of sugar beet yields with the use of neural network techniques
68 # 1395
Using the neural networks for prediction of biotechnological process parameters
7 # 1732
Application of artificial neuron networks in agricultural Engineering
70 # 1211
Image recognition with artificial neuron networks
70 # 1191
Spring Barley seeds density determination using artificial neuron networks
71 # 1461
Effect of micronizatroion on the activity of everlasting pea neurotoxin determined by using of bromocresol purple index (BCPI)
74 # 1255
Estimating the distribution of a granual molecule mixed using the Funnel-flow system
74 # 1239
Forecasting a hothouse cucumber price with the use of neuron networks
74 # 1263
Neural method of maximizing the values of the results of the simultaneous production of enzymes by yeast Kluyveromyces marxianus K-4
74 # 1262
Neural prediction of the results of the process of simultaneous biosynthesis of inulinase and invertase by Aspergillus niger under conditions of selected abiotic stresses
74 # 1272
The neurals model of daily prediction of solar radiation
74 # 1273
The use of a neural network in modeling of a two-component granular systems’ mixing
78 # 83
Reutilization of asbestos-cement plates by using concrete coating
8 # 1026
Analysis of the parameters of seed coat separation from the mixture originated at rape seed hulling
80 # 163
Energy expenses on farms with different economical size
80 # 177
Selected aspects of application of ndir combustion gas analyser to measure combustion gas emission from self-ignition engine
81 # 207
Qualitaty models analysis neural networks on the example of the pellet quality
82 # 270
Optimisation of operating parameters of a pneumatic cascade separator
83 # 44
An analysis of buckweat seed separation process using trieur bar-type working surfaces
86 # 297
ethod of Forecasting technical parameter values of state--of-the-art farm machines. Part No I. Forecasting technique for farm tractor parameters
86 # 298
Method of Forecasting technical parameter values of state-of-the-art farm machines. Part II. Neural models for setting out farm tractor parameters
87 # 390
Neural models for wearing of working elements in soil
87 # 399
The analysis of production output in a family farm, carried out using a neural network
87 # 367
Utilization of ANN to determine wheat grain hardness
88 # 461
Analysis of celery hardness during drying process
88 # 427
Hardness model for wheat caryopsises using Artificial Neural Networks
88 # 448
Identification of temperature fields applied for evaluation of air flow heterogeneity through a rock bed storage by means of neural methods
88 # 413
Interactive education system supporting the use of artificial neural networks in agriculture
88 # 460
Modeling the threshing process when using artificial neural networks
88 # 428
Optimization of the logging process in the aspect of natural environment contamination
90 # 1794
Artificial neural networks for modelling ammonia emission from field applied slurry manure
90 # 1771
Determining the value of basic technical parameters for modern harvester combines with the use of ANN
90 # 1786
Emploment of neuron network for definition of effectiveness of work foresty shreder
90 # 1790
Neural Network as a tool enabling prediction of water demand in agricultu
90 # 1793
Prognose of the content of the sugar in roots of sugar-beet with utilization of the techniques regression and neural
90 # 1792
The analysis of possibilities of predictions of soil dislocations during ploughing using standard statistical methods as well as artificial neural networks
93 # 1835
Impact of basic input parameters of amaranth and millet seeds expanding process in hot air stream on the reliability of their pneumatic transportation
94 # 1887
Ocena energetyczno-ekonomiczna ogrzewania dendromasą
95 # 1907
analysis of the geometry of Miscanthus giganteus stalk
95 # 1909
Influence of infrastructure on development of entrepreneurship in villages of selected counties in the Province of Małopolska
99 # 2031
Neural model allowing to locate defects in injection pumps
99 # 2050
The future of agricultural engineering as a science and educational direction
99 # 2030
Using of artificial neural networks to assess credit ratings of farmers – clients of a leasing company
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